Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Miaolei Deng"'
Publikováno v:
IET Image Processing, Vol 18, Iss 7, Pp 1915-1926 (2024)
Abstract Surface defect detection is an essential task for ensuring the quality of products. Many excellent object detectors have been employed to detect surface defects in resent years, which has achieved outstanding success. To further improve the
Externí odkaz:
https://doaj.org/article/043f91f73421405bb02785c7587ab48a
Publikováno v:
Symmetry, Vol 16, Iss 7, p 891 (2024)
Compared to traditional platform environments in the online realm, the metaverse, as a three-dimensional (3D) virtual world, exposes more identity data to the network. Once these data are compromised, it leads to privacy breaches. Therefore, how to e
Externí odkaz:
https://doaj.org/article/db421b98ee7748108a858c097dd478c2
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 4, Pp 21-35 (2023)
Recently, spectrum-based fault localization approaches have been widely used for its fast and perform well for programs with only one fault.However, most of the existing methods do not consider the fact that the programs tend to have multiple faults.
Externí odkaz:
https://doaj.org/article/0e6ac2a0a18a4ca7942a819084f1680d
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101676- (2023)
Fault localization have proven to be useful in various software during the process of software testing and debugging. The presence of multiple faults simultaneously may deteriorate the effectiveness of existing fault-localization techniques. One good
Externí odkaz:
https://doaj.org/article/fbf7e5436b3e41ce8fa772fd7d0fd438
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101668- (2023)
Debugging programs involves a considerable amount of time and resources spent on identifying the source of errors. Spectrum-based fault localization techniques are becoming increasingly popular due to their quick and effective performance when dealin
Externí odkaz:
https://doaj.org/article/5ca4ad2dc64a4ee9af7c360332c88678
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract To the problem of the complex pre-processing and post-processing to obtain head-position existing in the current crowd localization method using pseudo boundary box and pre-designed positioning map, this work proposes an end-to-end crowd loc
Externí odkaz:
https://doaj.org/article/c978bb519900468ca1dbb207e6715287
Publikováno v:
Grain & Oil Science and Technology, Vol 5, Iss 1, Pp 44-57 (2022)
Wheat quality detection is essential to ensure the safety of wheat circulation and storage. The traditional wheat quality detection methods mainly include artificial sensory evaluation and physicochemical index analysis, which are difficult to meet t
Externí odkaz:
https://doaj.org/article/5caae432f783482dbdc31ae82a6bb7b1
Publikováno v:
IEEE Access, Vol 10, Pp 47846-47853 (2022)
Due to extreme scale variations in highly congested scenes, the accuracy of CNN-based crowd counting approaches still has considerable room for further improvements. In this paper, we propose a new multi-scale feature adaptive integrated network (MSF
Externí odkaz:
https://doaj.org/article/47d06cde20c94033bd33e7bb8642877c
Publikováno v:
PeerJ Computer Science, Vol 8, p e1071 (2022)
Background Spectrum-based Fault localization have proven to be useful in the process of software testing and debugging. However, how to improve the effectiveness of software fault localization has always been a research hot spot in the field of softw
Externí odkaz:
https://doaj.org/article/b527a3066da1422cbc90c2179b44ac17
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8070 (2022)
Metallic surface defect detection is critical to ensure the quality of industrial products. Recently, human-advanced surface defect detection algorithms have been proposed. Most of these algorithms rely on convolutional neural networks (CNN) and an a
Externí odkaz:
https://doaj.org/article/27968f5c1c1f4dcf9aec19fb33f0a040